Evidence map›Paper›PMID 35546955›Full record

ArticleFrontiers in psychiatry2022

Prevalence and Clinical Correlates of Internet Addiction Symptoms and Their Association With Quality of Life in Adolescents With Major Depressive Disorder: A Multicenter Cross-Sectional Study.

Song Wang, Lei Xia, Jiawei Wang, Xiaoping Yuan, Yudong Shi, Xixin Wang, Xiaoyue Li, Yu Hu, Yulong Zhang, Yating Yang and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 7 institutions in 2 countries.

Song WangSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.
Lei XiaSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.
Jiawei WangDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Xiaoping YuanSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.
Yudong ShiSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.
Xixin WangSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.
Xiaoyue LiDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Yu HuDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Yulong ZhangSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.
Yating YangSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.
Feng GengDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Zhiwei LiuDepartment of Psychiatry, Fuyang Third People's Hospital, Fuyang, China.
Changhao ChenDepartment of Psychiatry, Suzhou Second People's Hospital, Suzhou, China.
Xiangwang WenDepartment of Psychiatry, Ma'anshan Fourth People's Hospital, Ma'anshan, China.
Xiangfen LuoDepartment of Psychiatry, The Second Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Fei GaoCentre for Cognitive and Brain Sciences, University of Macau, Macao, Macao SAR, China.
Huanzhong LiuDepartment of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, China.
Anhui Medical University · CNChaohu Hospital of Anhui Medical University · CNAnhui Mental Health Center · CNAnshan Hospital · CNTaizhou Second People's Hospital · CNThe Second Affiliated Hospital of Bengbu Medical College · CNUniversity of Macau · MO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Internet addiction (IA) symptoms are common among adolescents and negatively impact their academic performance and development. These symptoms are also associated with lower quality of life (QOL) and increased suicidality. This study aimed to examine the prevalence and the sociodemographic and clinical correlates of IA symptoms in adolescents with major depressive disorder (MDD) and their association with QOL. Methods: This cross-sectional study was conducted in three general and four psychiatric hospitals in Anhui Province, China, from January to July 2021. Sociodemographic and clinical data were collected. The Internet Addiction Test (IAT), Center for Epidemiologic Studies of Depression Symptom Scale (CES-D), and World Health Organization Quality of Life Brief version (WHOQOL-BREF) were utilized to examine IA, depressive symptoms, and QOL, respectively. Results: In a multicenter sample of 278 adolescents with MDD, the prevalence of IA symptoms in adolescents with MDD was 46.8% (95% CI: 40.9-52.7%). Logistic regression analysis showed that patients with more severe depressive symptoms (odds ratio [OR] = 1.05, 95% CI: 1.03-1.08), those living in a rural area (OR = 1.94, 95% CI: 1.15-3.27), and those with poor academic performance (OR = 2.90, 95% CI: 1.42-5.95) were more likely to have IA symptoms. After controlling for confounding factors, patients with IA symptoms had significantly poorer QOL in the physical, psychological, and environmental domains than those without IA symptoms. Conclusion: IA symptoms are common in adolescents with MDD and appear to be associated with clinical symptoms. We could not infer a causal relationship between IA and depression because this was a cross-sectional study. Considering the positive association between IA symptoms and lower QOL, screening for IA symptoms should be conducted, and effective measures should be implemented for adolescents with MDD.

Indexed as

adolescentsChinainternet addictionmajor depressive disorderquality of life

Identifiers

PMID35546955
PMCPMC9081563
OpenAlexW4224316260

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.